Triple
T29190531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 2000 Year Old Man |
E739976
|
entity |
| Predicate | interviewerPortrayedBy |
P1507
|
FINISHED |
| Object | Carl Reiner |
E201155
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Carl Reiner | Statement: [The 2000 Year Old Man, interviewerPortrayedBy, Carl Reiner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interviewerPortrayedBy Context triple: [The 2000 Year Old Man, interviewerPortrayedBy, Carl Reiner]
-
A.
portrayedBy
chosen
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
B.
friendPortrayedBy
Indicates that a person’s friend is depicted or represented by a particular actor or performer.
-
C.
characterPortrayedIs
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
D.
partnerPortrayedBy
Indicates that one entity is the actor or performer who portrays the partner or counterpart of another entity in a work.
-
E.
frontedByPortrayedBy
Indicates that the front-facing representation of an entity (such as a work, object, or concept) is provided or embodied by a particular portraying entity (such as a person, image, or character).
- F. None of above.
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a260bff6b688190b82b62770b2e3d99 |
completed | June 8, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 28, 2026, 12:02 p.m.